About Behavox
Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise. Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.
About the Role
The Machine Learning Operations team at Behavox designs and builds the next-generation cutting-edge tooling, infrastructure, and web interfaces that enable the building of efficient ML models, including LLM. We are exposed to a wide range of interesting challenges that include (but are not limited to): building infrastructure that enables scalable development of ML models; building scalable and secure data infrastructure; development and deployment of ML services. As a DevOps Engineer, you will work on Kubernetes-based infrastructure in AWS and GCP, CI/CD/CT processes for ML models and services, data infrastructure.
If you are interested in taking your career to the next level and building the next generation AI Infrastructure then this is the right place for you.For the right Talent, this is a great opportunity because:1. It's a greenfield. Our team is young and we can choose any tools and frameworks that we consider the best ones to fulfill the requirements.2. Huge impact. You will work on the ML and data infrastructure components that are directly related to the efficiency of ML models - the heart of the company's success.3. Visibility - all the services will be used by other departments immediately; you will have a lot of feedback.
What You'll Bring
- A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and/or technologies
- Linux system administration expertise, solid knowledge of Linux and networks
- Designing and managing infrastructure in a public cloud (AWS, GCP)
- Hands-on experience with Kubernetes
- Development and scripting skills (Python, Bash)
What You'll Do
- Manage and troubleshoot complex distributed large-scale software systems
- Build scalable, secure and reliable container-based infrastructure
- Design the cloud infrastructure
- Automate software delivery processes with CI\CD pipelines
- Develop tools, services, and scripts (Python)
What We Offer
- A truly global mission with a passionate community in locations all over the world
- Huge impact and learning potential as our aspirations require bold innovation
- Highly competitive compensation with 100% bonus pay already integrated
- Benefits include great health coverage for employee and family
- Generous time-off policy and flexible work schedule
About Our Process
We take Talent very seriously and we are building a community of extraordinary individuals working together in very high-performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment.
We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers.
